uzair921/LLAMA7B_GUM_LLM_CONTEXT_50
收藏Hugging Face2025-02-11 更新2025-02-15 收录
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https://hf-mirror.com/datasets/uzair921/LLAMA7B_GUM_LLM_CONTEXT_50
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资源简介:
这是一个用于命名实体识别的数据集,包含了文本字符串序列和对应的实体标签序列。数据集被划分为训练集、验证集和测试集,共有892、615和807个样本。实体标签涵盖了抽象、动物、事件、物体、组织、人物、地点、植物、数量、物质和时间等类型,区分了实体的开始和延续。
This is a dataset for named entity recognition, containing text string sequences and corresponding entity label sequences. The dataset is divided into training, validation, and test sets with 892, 615, and 807 samples respectively. The entity labels cover types such as abstract, animal, event, object, organization, person, place, plant, quantity, substance, and time, distinguishing between the beginning and continuation of entities.
提供机构:
uzair921



